The agent partially understood renters.mx by assembling information from web search results and prior knowledge, since the site's JavaScript-rendered content was not directly readable. The agent successfully identified the core business (legal protection policies for landlords in Mexico) and pricing tiers, but could not access crucial details like claim processes, coverage limits, and policy terms because the website's dynamic architecture prevented direct content extraction. The site is poorly navigable for agents—it returns only boilerplate HTML skeletons across all fetches, forcing reliance on external search results and inference rather than direct information discovery.

• ›Step [11] (Spanish-language search) was the only step that returned actionable content—search snippets from Google that revealed the service's core value proposition ('póliza jurídica', legal protection for landlords, no guarantor required). All direct fetches ([1], [3], [4], [5], [13]) returned identical truncated HTML shells with no rendered content, making the website completely opaque to static analysis.
• ›The agent had to infer pricing (Pro: 50% + VAT, Premium: 70% + VAT of monthly rent) from web search results and competitor pages, not from renters.mx's own site. The site itself disclosed no pricing information in any fetched response.
• ›The site's use of React/JavaScript rendering without server-side content or API endpoints makes it invisible to agent crawlers. Even when the agent guessed logical URLs (/pricing, /about, /features), all returned the same empty shell. This design pattern actively prevents agent discovery and comprehension—the site is effectively agent-hostile.